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Chapman & Hall/CRC The R Series


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R Graphics, Third Edition

R Graphics, Third Edition

Forthcoming

Paul Murrell
December 31, 2018

This is the third edition of a very successful book on using R for graphics by one of the leaders in the field. This is a major update, with a complete overhaul in focus and scope. It will now focus primarily on the two core graphics packages in R - graphics and grid - and has a new section on...

Practical R for Mass Communication and Journalism

Practical R for Mass Communication and Journalism

Forthcoming

Sharon Machlis Garienberg
December 06, 2018

Practical R for Mass Communication Do you want to use R to tell stories? This book was written for you—whether you already know some R or have never coded before. Most R texts focus only on programming or statistical theory. Practical R for Mass Communication gives you ideas, tools, and...

Digital Media: Analysis with R

Digital Media: Analysis with R

Forthcoming

Marco T. Bastos, Cornelius Puschmann
November 01, 2018

Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis

Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis

Forthcoming

Jonathan K. Regenstein, Jr.
October 02, 2018

Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment management that explores the three major R/finance coding paradigms, emphasizes data visualization, and explains how to build a cohesive suite of functioning Shiny...

Displaying Time Series, Spatial, and Space-Time Data with R

Displaying Time Series, Spatial, and Space-Time Data with R

Forthcoming

Oscar Perpinan Lamigueiro
August 15, 2018

Focusing on the exploration of data with visual methods, Displaying Time Series, Spatial, and Space-Time Data with R, Second Edition, presents methods and R code for producing high-quality static graphics, interactive visualizations, and animations of time series, spatial, and space-time data....

R Markdown: The Definitive Guide

R Markdown: The Definitive Guide

Yihui Xie, J.J. Allaire, Garrett Grolemund
July 17, 2018

R Markdown: The Definitive Guide is the first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive...

Handbook of Educational Measurement and Psychometrics Using R

Handbook of Educational Measurement and Psychometrics Using R

Christopher D. Desjardins, Okan Bulut
May 02, 2018

Currently there are many introductory textbooks on educational measurement and psychometrics as well as R. However, there is no single book that covers important topics in measurement and psychometrics as well as their applications in R. The Handbook of Educational Measurement and Psychometrics...

blogdown: Creating Websites with R Markdown

blogdown: Creating Websites with R Markdown

Yihui Xie, Alison Presmanes Hill, Amber Thomas
December 12, 2017

blogdown: Creating Websites with R Markdown provides a practical guide for creating websites using the blogdown package in R. In this book, we show you how to use dynamic R Markdown documents to build static websites featuring R code (or other programming languages) with automatically rendered...

The Essentials of Data Science: Knowledge Discovery Using R

The Essentials of Data Science: Knowledge Discovery Using R

Graham J. Williams
July 13, 2017

The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessible journey through data analysis and machine learning to discover and share knowledge from...

Flexible Regression and Smoothing: Using GAMLSS in R

Flexible Regression and Smoothing: Using GAMLSS in R

Mikis D. Stasinopoulos, Robert A. Rigby, Gillian Z. Heller, Vlasios Voudouris, Fernanda De Bastiani
May 08, 2017

This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs) to accommodate large complex datasets, which are increasingly prevalent. GAMLSS allows any...

R Primer

R Primer

Claus Thorn Ekstrom
March 01, 2017

Newcomers to R are often intimidated by the command-line interface, the vast number of functions and packages, or the processes of importing data and performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions to R problems frequently encountered...

Testing R Code

Testing R Code

Richard Cotton
January 19, 2017

Learn how to write R code with fewer bugs. The problem with programming is that you are always one typo away from writing something silly. Likewise with data analysis, a small mistake in your model can lead to a big mistake in your results. Combining the two disciplines means that it is all too...

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